z-logo
open-access-imgOpen Access
A Fuzzy Logic System for Admissibility of Prospective Student to Nursery Class
Author(s) -
Goldendeep Kaur,
Prabhjot Singh
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20554-2933
Subject(s) - computer science , class (philosophy) , fuzzy logic , mathematics education , artificial intelligence , mathematics
plays a vital role in our lives. In today's constantly changing technological world, education is necessity after food, clothing and shelter. Competition prevails in every sphere of life. Even at primary level there is massive rush for admissions. Every school has its own criteria for selecting prospective students. This research is an attempt to design and implement a fuzzy logic system to identify the eligibility of the concerned students. In the system designed, four input parameters which are Neighborhood points, Educational Qualification of Parents, Siblings points and Alumni points are evaluated using Fuzzy system to infer an output parameter eligibility according to which we can decide whether the child is eligible for admission. KeywordsLogic, Eligibility Criteria, Admissions, Fuzzy Rules.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom